A two-stage energy management framework for optimal scheduling of multi-microgrids with generation and demand forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07103-w.pdf
Reference44 articles.
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3. Anglani N, Oriti G, Colombini M (2017) Optimized energy management system to reduce fuel consumption in remote military microgrids. IEEE Trans Ind Appl 53:5777–5785. https://doi.org/10.1109/TIA.2017.2734045
4. Luna AC, Meng L, Diaz NL, Graells M, Vasquez JC, Guerrero JM (2018) Online energy management systems for microgrids: experimental validation and assessment framework. IEEE Trans Power Electron 33:2201–2215. https://doi.org/10.1109/TPEL.2017.2700083
5. Marzband M, Ghadimi M, Sumper A, Dom\’\inguez-Garc\’\ia JL (2014) Experimental validation of a real-time energy management system using multi-period gravitational search algorithm for microgrids in islanded mode. Appl. Energy. 128:164–174
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